In the age of the smart machine: the future of work and power
In the age of the smart machine: the future of work and power
Knowledge and Organization: A Social-Practice Perspective
Organization Science
Organization Science
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Templates Instruments for Standardizing ERP Systems
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Knowledge Management in Action: Integrating Knowledge across Communities
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 7 - Volume 7
Re-Embedding Situatedness: The Importance of Power Relations in Learning Theory
Organization Science
Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change
Journal of Management Information Systems
Knowledge risks in organizational networks: An exploratory framework
The Journal of Strategic Information Systems
How does social software change knowledge management? Toward a strategic research agenda
The Journal of Strategic Information Systems
Strategies for software-based hybrid business models
The Journal of Strategic Information Systems
From boundary spanning to creolization: A study of Chinese software and services outsourcing vendors
The Journal of Strategic Information Systems
Hi-index | 0.00 |
This commentary paper aims to highlight issues associated with the supposed ability to transfer knowledge across networks. In response to the paper ''Risks in Organizational Networks: An Exploratory Framework'', (Trkman and Desouza, 2012, pp. 1-17), we argue that the taken-for-granted assumption that knowledge is transferrable represents a risk in itself. We analyze knowledge in networks using a practice perspective - in turn we consider knowledge as enacted in social practices and as context-specific. In contrast with Trkman and Desouza's paper, we argue that if knowledge is seen as enacted in practice, a framework that maps risks associated with knowledge transfer is limiting. We conclude that, since knowing in practice is emergent and not fully controllable, adopting a set of best practices on how to effectively transfer (or not) knowledge could itself be risky for managers who then believe that knowledge can be treated as a commodity and easily moved about a network.